New Year Goodies - 55% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: av5rz84q

Exact2Pass Menu

Question # 4

You are planning the product creation project.

You need to build the REST endpoint to create the multilingual product descriptions.

How should you complete the URI? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Full Access
Question # 5

You are developing the shopping on-the-go project.

You need to build the Adaptive Card for the chatbot.

How should you complete the code? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Full Access
Question # 6

You are developing the knowledgebase by using Azure Cognitive Search.

You need to build a skill that will be used by indexers.

How should you complete the code? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Full Access
Question # 7

You need to develop an extract solution for the receipt images. The solution must meet the document processing requirements and the technical requirement.

You upload the receipt images to the Form Recognizer API for analysis, and the API returns the following JSON.

Which expression should you use to trigger a manual review of the extracted information by a member of the Consultant-Bookkeeper group?

A.

documentResults. fields.ReceiptType.confidence > 0.7

B.

docuementResults. fields.MerchantName.confidence < 0.7

C.

documentResults. *.fieldconfidence <

D.

documentResults.docType == ''prebuiltreceipt''

Full Access
Question # 8

You are developing the document processing workflow.

You need to identify which API endpoints to use to extract text from the financial documents. The solution must meet the document processing requirements.

Which two API endpoints should you identify? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

/vision/v3.2/read/analyzeResults

B.

/formrecognizer/v2.0/prebuilt/receipt/analyze

C.

/vision/v3.2/read/analyze

D.

/vision/v3.2/describe

E.

/formercognizer/v2.0/custom/models{modelId}/ analyze

Full Access
Question # 9

You are developing the chatbot.

You create the following components:

• A QnA Maker resource

• A chatbot by using the Azure Bot Framework SDK

You need to add an additional component to meet the technical requirements and the chatbot requirements. What should you add?

A.

IDispatch

B.

chatdown

C.

Language Understanding

D.

Microsoft Translator

Full Access
Question # 10

You are developing the chatbot.

You create the following components:

* A Qna Maker resource

* A chatbot by using the Azure Bot Framework SDK.

You need to integrate the components to meet the chatbot requirements.

Which property should you use?

A.

QnADialogResponseOptions.CardNoMatchText

B.

Qna MakerOptions-ScoreThreshold

C.

Qna Maker Op t ions StrickFilters

D.

QnaMakerOptions.RankerType

Full Access
Question # 11

You are building a model that will be used in an iOS app.

You have images of cats and dogs. Each image contains either a cat or a dog.

You need to use the Custom Vision service to detect whether the images is of a cat or a dog.

How should you configure the project in the Custom Vision portal? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Full Access
Question # 12

You train a Custom Vision model used in a mobile app.

You receive 1,000 new images that do not have any associated data.

You need to use the images to retrain the model. The solution must minimize how long it takes to retrain the model.

Which three actions should you perform in the Custom Vision portal? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Full Access
Question # 13

You are training a Language Understanding model for a user support system.

You create the first intent named GetContactDetails and add 200 examples.

You need to decrease the likelihood of a false positive.

What should you do?

A.

Enable active learning.

B.

Add a machine learned entity.

C.

Add additional examples to the GetContactDetails intent.

D.

Add examples to the None intent.

Full Access
Question # 14

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.

You need to add the new images to the classifier.

Solution: You add the new images and labels to the existing model. You retrain the model, and then publish the model.

Does this meet the goal?

A.

Yes

B.

No

Full Access
Question # 15

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have an Azure Cognitive Search service.

During the past 12 months, query volume steadily increased.

You discover that some search query requests to the Cognitive Search service are being throttled.

You need to reduce the likelihood that search query requests are throttled.

Solution: You add indexes.

Does this meet the goal?

A.

Yes

B.

No

Full Access